Custom VLSI ASIC for automotive applications with recurrent networks

Demands on the performance of vehicle control and diagnostic systems are steadily increasing as a consequence of stiff global competition and government mandates. Neural networks provide a means of creating control and diagnostic strategies that will help in meeting these demands efficiently and rob...

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Bibliographic Details
Main Authors: Tawel, R., Aranki, N., Puskorius, G.V., Marko, K.A., Feldkamp, L.A., James, J.V., Jesion, G., Feldkamp, T.M.
Format: Conference Proceeding
Language:English
Subjects:
Application specific integrated circuits
Automotive applications
Computer architecture
Control systems
Hardware
Laboratories
Multilayer perceptrons
Neural networks
Neurons
Very large scale integration
Online Access:Request full text
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Summary:Demands on the performance of vehicle control and diagnostic systems are steadily increasing as a consequence of stiff global competition and government mandates. Neural networks provide a means of creating control and diagnostic strategies that will help in meeting these demands efficiently and robustly. This paper describes a VLSI design that permits such networks to be executed in real time as well as the application in misfire detection, that served as a focus for the collaborative effort.
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.1998.682346